Passive Image Forensic Method to Detect Resampling Forgery inDigital Images
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 3
Abstract
Abstract: The digital images are becoming important part in the field of information forensics and security,because of the popularity of image editing tools, digital images can be tampered in a very efficient mannerwithout leaving any visual clue. As a consequence, the content of digital images cannot be taken as for granted.Therefore it is must to create forensic techniques which is capable of detecting tampering in image. In general,the image forgery technologies often utilizes the scaling, rotation or skewing operations to tamper some regionsin the image, in which the resampling is demanded. Forged area is often resized & rotated to make itproportional with respect to neighboring unforged area. This is called as resampling operation which changescertain characteristics of the pasted portion. By observing the detectable periodic distribution propertiesgenerated from the resampling, propose a method based on the Peak Value Identification Classifier to detect thetampered regions and find the Peak Signal to Noise Ratio (PSNR) to know about quality of resampled image.The experimental results show that the proposed method outperforms the conventional methods in terms ofrecall and precision.
Authors and Affiliations
Amaninder Kaur , Sheenam Malhotra
Keywords
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